Search results

The purpose of this paper is to synthesize existing knowledge‐based dynamic capabilities research into a single typology for managerial and academic use.

Based on the resource‐based and knowledge‐based views, this study conducts a theoretically grounded typology development exercise based on an extensive review of the existing dynamic capabilities literature.

The paper identifies seven frameworks presented in the literature that showed some consistency in underlying concepts but conflict in nomenclature and application. Identifying over 80 uses of knowledge‐based dynamic capabilities in the literature review, three complementary dimensions that are common amongst the frameworks are identified and integrated into a consistent typology of eight knowledge‐based dynamic capabilities to encompass the extant literature.

Addressing fragmentation in the knowledge‐based dynamic capabilities discourse, the paper advances the concept of knowledge‐based dynamic capabilities by organizing the existing literature and frameworks into a comprehensive and consistent typology. Moreover, this integrative typology allows managers and researchers to identify those capabilities in use and the commonalities between them. Finally, the paper identifies a new knowledge‐based dynamic capability that has not yet been identified in any existing framework.

Existing research on the relationship between big data and organizational decision quality is still few and far between, and what does exist often assumes direct effects of big data on decision quality. More recent research indicates that such direct effects may be too simplistic, and in particular, an organization’s overall human skills are often not considered sufficiently. Inspired by the knowledge-based view, we therefore propose that interactions between three aspects of big data usage and management accountants’ data analytics skills may be key to reaching high-quality decisions. The purpose of this study is to test these predictions based on a survey of US firms.

The authors draw on survey data from 140 US firms. This survey has been conducted via MTurk in 2020.

The results of the study show that the quality of big data sources is associated with higher perceived levels of decision quality. However, according to the results, the breadth of big data sources and a data-driven culture only improve decision quality if management accountants’ data analytics skills are highly developed. These results point to the important, but so far unexamined role of an organization’s management accountants and their skills for translating big data into high-quality decisions.

The present study highlights the importance of an organization’s human skills in creating value out of big data. In particular, the findings imply that management accountants may need to increasingly draw on data analytics skills to make the most out of big data for their employers.

This study is among the first, to the best of the authors’ knowledge, to provide empirical proof of the relevance of an organization’s management accountants and their data analytics skills for reaching desirable firm-level outcomes. In addition, this study thus adds to the further advancement of the knowledge-based view by providing evidence that in contemporary big-data environments, interactions between tacit and explicit knowledge seem crucial for driving desirable firm-level outcomes.

The purpose of this guest editorial is to highlight the importance of knowledge management and organizational learning in firm innovation, offering an integrative framework to understand this complex business phenomenon.

Based on the literature review, the guest editorial shows a general review on “A Knowledge‐Based View of Firm Innovation” articulating and integrating a total number of ten theoretical and empirical contributions about this topic.

Theoretical and empirical works are organized in three main topics. The first one refers to the importance of external knowledge, networking, and relationships as key drivers of firm technological innovation, offering an “open or relational innovation framework”. The second one shows several papers on the growing importance of KIBS (Knowledge‐Intensive Business Services) in a Knowledge Economy and Society. Finally, this general review integrates papers about organizational context, and its role on knowledge management and firm innovation.

The paper and special issue tries to offer some new relevant advances for the academic community in the growing body of knowledge management and firm innovation. Nevertheless, due to its special issue nature, the theoretical and empirical advances showed on it represent only a partial view of a “Knowledge‐Based View of Firm Innovation”.

Managers need to understand the precise nature and sources (internals and externals) of firm innovation. In this vein, this journal number shows empirical research developed in different countries and industries illustrating some interesting insights about this complex business phenomenon.

This general review shows new lines of theoretical and empirical research regarding knowledge management, organizational learning, and firm innovation in a useful integrative framework: “A Knowledge‐Based View of Firm Innovation”

The purpose of this study is to critically evaluate the canonical contribution of the classical theories of multinational enterprises (MNE) and complement them with congruous multi-theoretical lenses to a propose a meta-theoretical view for competitive advantage. The proposed framework is applied to fundamental questions of MNE, and exploratory insights are revealed.

This study sought to review the literature on various paradigms such as resource-based view, knowledge-based view, attention-based view, relational view, dynamic capability view and institution-based view to propose a meta-theoretical approach explicating the phenomenon of competitiveness.

This study proffers that the key to global competitiveness lies in building micro-foundational, multidimensional and multilevel multinational orchestration capabilities. The requisite orchestration capabilities are capabilities par excellence that explain: how organizational capabilities originate through the cognition of individual employees at the micro level; how individual-level abilities are amplified when they are harnessed through relational capabilities to form knowledge capabilities at the meso-level; and how the confluence of knowledge capabilities and higher order dynamic capabilities gives rise to heterogeneous firm-level knowledge-based dynamic capabilities that can be combined with institution capabilities to aggrandize the prediction of competitive advantage for MNEs.

The successful development of MNE competitiveness as a field of academic inquiry, brought about by an increasing amount of theoretical specialization, has come at the price of significant fragmentation of the overall scientific quest. The abovementioned paradigms and their underlying constructs have primarily been conceptualized in silos. The classical theories of MNE have been used a starting point to which complementary multidisciplinary views have been scaffolded to gain a more nuanced understanding of global competitiveness.

The purpose of this paper is to delve into the intricate depths surrounding the development of sustainable supply chains by conceptualizing the elemental aspects of superior performance in sustainable supply chain management (SSCM).

The paper is conceptual in nature and is grounded in the theories of SSCM and knowledge-based view.

The findings outline the elemental background processes governing the implementation of SSCM practices and superior performance outcomes. The conceptualization suggests that the superior performance of a sustainable supply chain is elementally dependent on the intricate efforts – to enrich the supply chain knowledge base with perspectives on SSCM. Thereby, these intricate efforts are delineated along the arcs of supply chain leadership, supply chain learning orientation, supply chain knowledge management (SCKM) and supply chain knowledge transfer. As such, while an SSCM orientation within the supply chain leadership is helpful in offsetting the inertia among the supply chain members to channelize intricate efforts in SSCM, the SSCM-based supply chain learning orientation further orientates the SSCM efforts of supply chain members toward the excavation of new knowledge in the frame of SSCM. Subsequently, the arcs of SSCM-based SCKM and SSCM-based supply chain knowledge transfer characterize the finer spaces of knowledge excavating actions, essential for enriching the supply chain knowledge base with perspectives on SSCM.

This conceptualization facilitates intriguing theoretical explanations to the linkage between SSCM implementation and superior performance outcomes. Specifically, from the knowledge-based angle, it delineates the root causes governing the superior/inferior nature of SSCM outcomes.

This chapter revisits central knowledge-based mechanisms that explain variance in value creation through mergers and acquisitions (M&As). It places the organizational capabilities of absorptive capacity and combinative capability in the context of M&As. Absorptive capacity – i.e., the combining firms’ ability to explore new knowledge – relies on the extent of prior related experiences of acquirers and their acquired firms, and available complementary knowledge among the two. Combinative capability – i.e., the combining firms’ ability to combine and recombine available existing knowledge – depends on the opportunity, motivation, and ability to share knowledge. The chapter concludes with several contextual factors that intensify the roles of knowledge, and reveal important contradictory roles in the development and value of absorptive capacity and combinative capability.

Knowledge management is a function of learning orientation, knowledge sharing, organizational memory and knowledge reuse. This paper aims to endeavor to explore a link between knowledge management and value creation which seem to be fragmented in the literature due to various conceptualizations and meanings. The study hypothesized a moderating role of social capital on the relationship between knowledge management and value creation.

The study was approached from the theoretical perspective. Study thoroughly reviews and analyzes the literature by developing a link between knowledge management and value creation. The studies were explored from selected databases including “Google scholar”, “Emerald” and “ProQuest” using the keyword search, namely, “Knowledge Sharing”, “Learning Orientation”, “Organizational Memory”, “Knowledge Re-use”, “Knowledge Management”, “Knowledge-based View”, “Competitive Advantage”, “Value Creation” and “Social Capital” to reduce the interpretation bias.

Knowledge management is an important predictor of value creation which can be strengthened by developing strong interpersonal relationships with all stakeholders. Organizations can create competitive advantage by managing social capital through knowledge management processes including learning orientation, knowledge sharing, organizational memory and knowledge reuse.

The study is based on a theoretical model and an apparent limitation is the non-existence here of contributions and discussions that have been based on empirical data. Future study may use other moderating and mediating variables such as industry type, market orientation, human capital and organizational climate to know whether knowledge management directly affects the value creation or indirectly through these variables. The hypotheses emerged from the model can be operationalized by generating the items from the review of the literature.

The study contributes to the knowledge management literature by developing a theoretical model of knowledge management based on underlying dimensions of learning orientation, knowledge sharing, organizational memory and knowledge re-use.

The purpose of this paper is to clarify the concept of dynamic capabilities from the knowledge‐based perspective and investigate the mechanisms of dynamic capabilities on innovation performance in networked environments.

This paper designed a seven‐point Likert questionnaire measuring the dynamic capabilities, innovation performance and network embeddedness and a sample of 218 Chinese manufacturing firms were surveyed. Structural equation modeling method was used to statistically test the theoretical hypothesis.

Significant relationships were found between dynamic capabilities and innovation performance and knowledge combination capability played a mediating role in this relationship. For the links between network embeddedness and dynamic capabilities, knowledge acquisition capability was affected mainly by relational embeddedness and the diversity of network and joint problem solving contributed much to knowledge combination capability.

This paper deepened the understanding on dynamic capabilities and the mechanism between network embeddedness, knowledge‐based dynamic capabilities and innovation performance. In the future, the construct of knowledge‐based dynamic capabilities calls for more examination and verification.

Drawing on the literature of dynamic capabilities framework, knowledge‐based view and the network model, this study extends the literature of dynamic capabilities and its link with innovation performance in networked environments. Using survey data and structural equation modeling, this study offers rich evidence on the contribution of dynamic capabilities on innovation performance and the antecedents of dynamic capabilities.

The purpose of this paper is to examine the relationship between knowledge-enhancing HR practices, intellectual capital and sustainable competitive advantage in knowledge-based firms.

A quantitative approach was used to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 320 managers in 157 firms were selected using convenience sampling. A structural equation model was employed for testing the hypotheses.

The study confirmed that knowledge-enhancing human resource (HR) practices established a very strong connection with intellectual capital. The results further disclosed a positive relationship between intellectual capital and firms' competitive advantage. A mediated relationship between knowledge-enhancing HR practices and firms' competitive advantage through intellectual capital was also affirmed.

The study was conducted in knowledge-based firms in Iran, which limits the generalizability of the research findings. Therefore, future studies should be carried out with samples from other contexts. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.

The paper underscored the importance of intellectual capital in improving knowledge-enhancing HR practices and firms' competitive advantage. It suggests to human resource managers to make the organizational arrangements to design knowledge-enhancing HR practices, thereby developing the intellectual capital that brings competitive advantage to knowledge-based firms.

The results of this study contribute to advance research on the intellectual capital literature by trying to explain how intellectual capital as a mediator variable can influence the relationship between knowledge-enhancing HR practices and sustainable competitive advantage.

This study is based on knowledge-based view to examine the relationships among buyer–supplier interaction, ambidextrous innovation and business performance. It includes competitive intensity and dysfunctional competition to clarify boundary conditions.

The ordinary least squares regression was conducted to test hypotheses. The survey data were collected from 182 Hong Kong manufacturing firms.

Buyer–supplier interaction facilitates ambidextrous innovation, namely exploitative innovation and exploratory innovation. In turn, exploitative innovation enhances business performance, whereas exploratory innovation has no influence on business performance. Competitive intensity strengthens while dysfunctional competition weakens the impact of buyer–supplier interaction on ambidextrous innovation.

This study is based on the knowing processes of knowledge-based view. It contends that business performance is derived from ambidextrous innovation, which depends on the utilization of acquired supplier knowledge and the influence of external competitive environment. The test of relationships is constrained by the single-source and cross-sectional data.

Firms should engage in buyer–supplier interaction to acquire and utilize supplier knowledge. Meanwhile, they should monitor competitive environment to seize opportunities and avoid threats.

This study builds a holistic framework for buyer–supplier interaction, which reconciles the mixed arguments by distinguishing its effects on ambidextrous innovation, and by clarifying boundary conditions in terms of competitive intensity and dysfunctional competition.